auto-approve
Skill2 starsChanged 4 months agoMITView on GitHub
分析 Claude Code 工具授权日志,发现高频操作模式,交互确认后加入自动授权清单。 减少重复审批,提升效率。使用 /auto-approve 触发分析。 Analyzes Claude Code tool approval logs, discovers high-frequency patterns, and adds user-confirmed patterns to an auto-approve list to reduce repetitive approvals.
- Deletes or force-pushes
- Commits and pushes
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The file
Files
/auto-approve — Claude Code 授权自学习
通过 Hooks 记录工具授权习惯,分析高频模式,经用户确认后自动放行,减少重复审批。
架构
PostToolUse hook (每次工具执行后自动记录)
│
▼
approval-log.jsonl ──→ /auto-approve (用户手动触发)
│
▼
候选规则 → 用户逐条确认 → learned-rules.json
│
▼
PreToolUse hook (命中规则 → 自动放行)安装
前置要求
jq(命令行 JSON 处理器)python3(3.6+)
一键安装
bash ~/.claude/skills/auto-approve/scripts/install.sh安装脚本会:
- 复制 hooks 和分析脚本到
~/.claude/auto-approve/ - 在
~/.claude/settings.json注册 PreToolUse / PostToolUse hooks - 创建数据目录
手动安装
如果你更喜欢手动操作,参见 scripts/install.sh 中的步骤。
使用
- 安装后重启 Claude Code — hooks 自动生效,开始静默记录工具调用日志
- 正常使用几天 — 积累数据(同类操作至少 ≥ 3 次,跨 ≥ 2 天)
- 在 Claude Code 中输入
/auto-approve— 触发分析 - 逐条确认候选规则 — 通过的规则立即生效,下次自动放行
安全机制
- 危险命令黑名单:
rm -rf、sudo、git push、chmod等 20 种危险模式永不推荐 - 阈值保护: 必须 ≥ 3 次且跨 ≥ 2 天才会被推荐
- 泛化上限: Bash 通配前缀至少保留 2 个 token,防止出现
Bash(*) - 人工确认: 所有规则必须用户逐条 Y/n 确认,不会静默生效
- 审计日志: 全量记录保留在
approval-log.jsonl,包括自动放行的记录
文件结构
~/.claude/auto-approve/
├── hooks/
│ ├── pre-tool-use.sh # PreToolUse: 查规则匹配则放行
│ └── post-tool-use.sh # PostToolUse: 记录每次工具执行
├── analyze.py # 分析引擎(/auto-approve 触发)
├── deny-patterns.json # 危险模式黑名单
└── data/
├── approval-log.jsonl # 审计日志(自动生成)
└── learned-rules.json # 已确认的自动授权规则卸载
bash ~/.claude/skills/auto-approve/scripts/uninstall.sh执行步骤
运行分析脚本:
python3 ~/.claude/auto-approve/analyze.py脚本会交互式地让用户逐条 Y/n 确认候选规则。确认的规则立即写入 learned-rules.json。
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

